TensorFlow 深度學(xué)習(xí)中文第二版(初稿)

TensorFlow 深度學(xué)習(xí)中文第二版(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/README.md)
第 1 章深度學(xué)習(xí)入門(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch01.md)人工神經(jīng)網(wǎng)絡(luò)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch01s02.md)
ANN 如何學(xué)習(xí)?(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch01s03.md)
神經(jīng)網(wǎng)絡(luò)架構(gòu)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch01s04.md)
深度學(xué)習(xí)框架(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch01s05.md)
總結(jié)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch01s06.md)
第 2 章 TensorFlow 的首次觀察(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch02.md)TensorFlow v1.6 的新功能是什么?(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch02s02.md)
安裝和配置 TensorFlow(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch02s03.md)
TensorFlow 計(jì)算圖(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch02s04.md)
TensorFlow 代碼結(jié)構(gòu)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch02s05.md)
TensorFlow 中的數(shù)據(jù)模型(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch02s06.md)
通過 TensorBoard 可視化計(jì)算(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch02s07.md)
線性回歸及更多(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch02s08.md)
總結(jié)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch02s09.md)
第 3 章使用 TensorFlow 的前饋神經(jīng)網(wǎng)絡(luò)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch03.md)實(shí)現(xiàn)前饋神經(jīng)網(wǎng)絡(luò)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch03s02.md)
實(shí)現(xiàn)多層感知器(MLP)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch03s03.md)
調(diào)整超參數(shù)和高級(jí) FFNN(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch03s04.md)
總結(jié)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch03s05.md)
第 4 章卷積神經(jīng)網(wǎng)絡(luò)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch04.md)CNN 實(shí)戰(zhàn)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch04s02.md)
LeNet5(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch04s03.md)
逐步實(shí)現(xiàn) LeNet-5(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch04s04.md)
數(shù)據(jù)集準(zhǔn)備(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch04s05.md)
微調(diào)實(shí)現(xiàn)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch04s06.md)
Inception-v3(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch04s07.md)
使用 CNN 進(jìn)行情感識(shí)別(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch04s08.md)
總結(jié)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch04s09.md)
第 5 章優(yōu)化 TensorFlow 自編碼器(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch05.md)使用 TensorFlow 實(shí)現(xiàn)自編碼器(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch05s02.md)
提高自編碼器的魯棒性(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch05s03.md)
使用自編碼器進(jìn)行欺詐分析(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch05s04.md)
總結(jié)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch05s05.md)
第 6 章循環(huán)神經(jīng)網(wǎng)絡(luò)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch06.md)RNN 和梯度消失 - 爆炸問題(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch06s02.md)
實(shí)現(xiàn) RNN 進(jìn)行垃圾郵件預(yù)測(cè)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch06s03.md)
開發(fā)時(shí)間序列數(shù)據(jù)的預(yù)測(cè)模型(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch06s04.md)
用于情感分析的 LSTM 預(yù)測(cè)模型(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch06s05.md)
使用 LSTM 模型識(shí)別人類活動(dòng)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch06s06.md)
總結(jié)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch06s07.md)
第 7 章異構(gòu)和分布式計(jì)算(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch07.md)TensorFlow GPU 設(shè)置(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch07s02.md)
分布式計(jì)算(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch07s03.md)
分布式 TensorFlow 設(shè)置(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch07s04.md)
總結(jié)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch07s05.md)
第 8 章高級(jí) TensorFlow 編程(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch08.md)TFLearn(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch08s02.md)
PrettyTensor(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch08s03.md)
Keras(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch08s04.md)
總結(jié)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch08s05.md)
第 9 章使用分解機(jī)的推薦系統(tǒng)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch09.md)使用協(xié)同過濾的電影推薦(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch09s02.md)
推薦系統(tǒng)的分解機(jī)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch09s03.md)
改進(jìn)的分解機(jī)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch09s04.md)
總結(jié)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch09s05.md)
第 10 章強(qiáng)化學(xué)習(xí)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch10.md)OpenAI Gym(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch10s02.md)
Q-Learning 算法(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch10s03.md)
深度 Q 學(xué)習(xí)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch10s04.md)
總結(jié)(https://gitee.com/it-ebooks/dsai-trans-proj/blob/master/dl-tf-2e-zh/ch10s05.md)